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A Mexican biologist living in New York returns to his hometown, nestled in the majestic butterfly forests of Michoacán. The journey forces him to confront past traumas and reflect on his hybrid identity, sparking a personal metamorphosis.

Josephine Decker employs uncanny masks, intricate sound design, and choreography inspired by Japanese butoh to create a visceral exploration of fear, stress, and childhood development.

An exhaustive meta-analytic review documenting a mysterious "women's" issue, otherwise known as endometriosis.[1] [1] term used to describe a clinical etiology that thus far has only been identified in primates with a female reproductive system, an anatomical structure of decidedly lower importance in comparison to those of the male primate.

Underwater acoustic signals, or sound waves, are distorted by factors such as noise, refractions, and water depth, making it challenging to locate their source. The purpose of this project was to determine the efficacy of an adaptive learning algorithm in creating a model for estimating the location of an object emitting sound underwater. Using a hydrophone, we recorded subaquatic acoustic signals in the form of music to quantify the channel's distortions. We derived channel response coefficients using a Bayesian (or adaptive learning) model. With them, we calculated an absorption coefficient relating the distance between the sound and hydrophone to properties of the recording. Through the process of multilateration, we aimed to approximate, with minimal error, the location of the acoustic source. Our adaptive learning model converges on channel response coefficients with increasing accuracy, leaving a strong foundation for continued efforts in underwater acoustic localization. Produced and written by Miranda Schrade Faculty mentors: Dr. Yun Ye, Dr. Shenglan Yuan Department of Mathematics, Engineering, and Computer Science CUNY Research Scholar Program.

A view of the sandy pine forest in the Provincelands. This is one of most spectacular and varied landscapes on the Cape. Part of the National Seashore, the Province Lands is a 5.5 mile paved bike trail, undulating through pine forests, sandy dunes, past ponds, and low-lying cranberry bogs. Provincelands of Provincetown, Cape Cod, Massachusetts, United States, 42° 4' 16.68" N, 70° 12' 33.48" W, 7:04-8:04 EST.